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Management. Industrial Management
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Baesens, Bart
41
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6
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5
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4
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4
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European Journal of Operational Research
12
European journal of operational research : EJOR
4
Business & information systems engineering : BISE ; the international journal of Wirtschaftsinformatik
2
International Journal of Forecasting
2
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2
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ECONIS (ZBW)
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RePEc
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1
Closing the gap between experts and novices using analytics-as-a-service : an experimental study
Lismont, Jasmien
;
Van Calster, Tine
;
Óskarsdóttir, María
- In:
Business & information systems engineering : BISE ; the …
61
(
2019
)
6
,
pp. 679-693
Persistent link: https://www.econbiz.de/10012131664
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2
On the gap between reality and registration : a business event analysis classification framework
Vanden Broucke, Seppe
;
Caron, Filip
;
Lismont, Jasmien
; …
- In:
Information technology and management
17
(
2016
)
4
,
pp. 393-410
Persistent link: https://www.econbiz.de/10011621742
Saved in:
3
Profit driven decision trees for churn prediction
Höppner, Sebastiaan
;
Stripling, Eugen
;
Baesens, Bart
; …
- In:
European journal of operational research : EJOR
284
(
2020
)
3
,
pp. 920-933
Persistent link: https://www.econbiz.de/10012238921
Saved in:
4
Deep learning for credit scoring : do or don't?
Gunnarsson, Björn Rafn
;
Vanden Broucke, Seppe
; …
- In:
European journal of operational research : EJOR
295
(
2021
)
1
,
pp. 292-305
Persistent link: https://www.econbiz.de/10012595981
Saved in:
5
An activity theory based approach for ontological modelling of collaborative logistics process dynamics
Wang, Ying
;
Huang, Lei
;
Vanden Broucke, Seppe
- In:
International journal of logistics : research and …
22
(
2019
)
4
,
pp. 371-392
Persistent link: https://www.econbiz.de/10012203862
Saved in:
6
Benchmarking sampling techniques for imbalance learning in churn prediction
Zhu, Bing
;
Backiel, Aimée
;
Vanden Broucke, Seppe
- In:
Journal of the Operational Research Society
69
(
2018
)
1
,
pp. 49-65
Persistent link: https://www.econbiz.de/10012216873
Saved in:
7
How to improve prediction using behavior modification?
Baesens, Bart
- In:
International journal of forecasting
39
(
2023
)
2
,
pp. 556-557
Persistent link: https://www.econbiz.de/10014465056
Saved in:
8
Instance-dependent cost-sensitive learning for detecting transfer fraud
Höppner, Sebastiaan
;
Baesens, Bart
;
Verbeke, Wouter
; …
- In:
European journal of operational research : EJOR
297
(
2022
)
1
,
pp. 291-300
Persistent link: https://www.econbiz.de/10013259292
Saved in:
9
Predicting time-to-churn of prepaid mobile telephone customers using social network analysis
Backiel, Aimée
;
Baesens, Bart
;
Claeskens, Gerda
- In:
Journal of the Operational Research Society : OR
67
(
2016
)
9
,
pp. 1135-1145
Persistent link: https://www.econbiz.de/10011575806
Saved in:
10
On the optimal marketing aggressiveness level of C2C sellers in social media : evidence from China
Wang, Xu
;
Baesens, Bart
;
Zhu, Zhen
- In:
Omega : the international journal of management science
85
(
2019
),
pp. 83-93
Persistent link: https://www.econbiz.de/10012016222
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